# MCP CLI

> Use this tool when you need to create and manage Model Context Protocol servers, exposing resources and tools to Large Language Model (LLM) clients. It solves problems related to LLM integration, deployment, and management, providing a command-line interface for input and output configuration. Ideal for use cases requiring customized LLM server setup and resource exposure.

Canonical page: https://skillsregistry.net/skills/james-gibson-mcp  
JSON: https://api.skillsregistry.net/v1/skills/james-gibson-mcp

## Description

A command-line tool for creating and running Model Context Protocol servers that expose resources, tools, and prompts to LLM clients.

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rtwp81qky7)
- **Repository:** <https://github.com/james-gibson/mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "james-gibson-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/james-gibson-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/james-gibson-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt